Local models are trained on tool calling these days, and they can be pretty good at it, too.

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

I can now spin up new containers with simple conversational prompts ...

A year ago the Ryzen AI Halo, AMD's tiny new AI workstation, would have offered devs and machine learning enthusiasts an ...

AI agents waste massive cloud space, so block this bloat early with strict policy checks, illustrated using Terraform and ...

Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...

Moving the database isn't enough. Here's the full residency surface — logs, ML tooling, backups, CI/CD — that regulated teams miss until it's too late.

AI models are getting some impressive scores on benchmarks, but some of these scores might need to be normalized for how models ...

A recent report from cloud security firm Sysdig details the capabilities of JadePuffer, which it says is the first ransomware ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models and agents. We’ve all heard the mantra from the quants in the business ...